Hui Men
Impact in
-
- Image and Video Quality Assessment
- Advanced Image Processing Techniques
- Image Enhancement Techniques
- Visual Attention and Saliency Detection
- Image and Signal Denoising Methods
- Media Technology top 5%
- Advanced Image Fusion Techniques
Papers in
-
- Image and Video Quality Assessment 7
- Advanced Image Processing Techniques 7
- Image Enhancement Techniques 5
- Advanced Vision and Imaging 1
-
- Circular RNAs in diseases 1
- Co-authors
- Hanhe Lin (7 shared papers)Dietmar Saupe (7 shared papers)Vlad Hosu (4 shared papers)Tamás Szirányi (1 shared paper)Mohsen Jenadeleh (1 shared paper)Shujun Li (1 shared paper)Franz Hahn (1 shared paper)Andrés Bruhn (3 shared papers)
- Journals
- Mediators of Inflammation (1 paper)View (1 paper)KOPS (University of Konstanz) (1 paper)Discovery Research Portal (University of Dundee) (5 papers)
- Partner nations
- GermanyUnited KingdomHungary
In The Last Decade
Hui Men
8 papers receiving 278 citations
Peers
Comparison fields: 5 of 25
- Computer Vision and Pattern Recognition 266
- Media Technology 64
- Signal Processing 33
- Urban Studies 9
- Cancer Research 10
Countries citing papers authored by Hui Men
This map shows the geographic impact of Hui Men's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hui Men with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Men more than expected).
Fields of papers citing papers by Hui Men
This network shows the impact of papers produced by Hui Men. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hui Men. The network helps show where Hui Men may publish in the future.
Co-authors
The 15 scholars most cited alongside Hui Men, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 215 | |
| 2 | 2018 | 23 | |
| 3 | 2017 | 15 | |
| 4 | 2019 | 11 | |
| 5 | 2020 | 9 | |
| 6 | 2020 | 5 | |
| 7 | 2019 | 5 | |
| 8 | 2022 | 2 |
About Hui Men
Hui Men is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Signal Processing, Immunology and Cancer Research, having authored 8 papers that have together received 285 indexed citations. Recurring topics across this work include Image and Video Quality Assessment (7 papers), Advanced Image Processing Techniques (7 papers), Image Enhancement Techniques (5 papers), Video Coding and Compression Technologies (1 paper), Cancer-related molecular mechanisms research (1 paper), Advanced Vision and Imaging (1 paper), Circular RNAs in diseases (1 paper) and Reproductive System and Pregnancy (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (266 citations), Media Technology (64 citations), Signal Processing (33 citations), Urban Studies (9 citations) and Cancer Research (10 citations). Hui Men has collaborated with scholars based in Germany, United Kingdom and Hungary. Frequent co-authors include Hanhe Lin, Dietmar Saupe, Vlad Hosu, Tamás Szirányi, Mohsen Jenadeleh, Shujun Li, Franz Hahn, Andrés Bruhn, Lianxiong Yuan and Li Li. Their work appears in journals such as Mediators of Inflammation, View, KOPS (University of Konstanz) and Discovery Research Portal (University of Dundee).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.